{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T12:53:44Z","timestamp":1758632024359,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2018,3,16]],"date-time":"2018-03-16T00:00:00Z","timestamp":1521158400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2018,3,16]]},"DOI":"10.1145\/3195588.3195605","type":"proceedings-article","created":{"date-parts":[[2018,5,9]],"date-time":"2018-05-09T12:43:13Z","timestamp":1525869793000},"page":"68-72","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Crime Scene Investigation Image Retrieval with Fusion CNN Features Based on Transfer Learning"],"prefix":"10.1145","author":[{"given":"Ying","family":"Liu","sequence":"first","affiliation":[{"name":"Center for Image and Information Processing, Xi' an University of Posts &amp; Telecommunications, Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanan","family":"Peng","sequence":"additional","affiliation":[{"name":"Center for Image and Information Processing, Xi' an University of Posts &amp; Telecommunications, Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daxiang","family":"Li","sequence":"additional","affiliation":[{"name":"Center for Image and Information Processing, Xi' an University of Posts &amp; Telecommunications, Key Laboratory of Electronic Information Application Technology for Scene Investigation, Ministry of Public Security, Xi;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiulun","family":"Fan","sequence":"additional","affiliation":[{"name":"Center for Image and Information Processing, Xi' an University of Posts &amp; Telecommunications, Xi;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Spectral Image Technology, Chinese Academy of Sciences, Xi;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,3,16]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Multi-feature Fusion for Crime Scene Investigation Image Retrieval. The International Conference on Digital Image Computing: Techniques and Applications (DICTA)","author":"Liu Y.","year":"2017","unstructured":"Y. Liu , D. Hu , J. L. Fan , F. P. Wang . Multi-feature Fusion for Crime Scene Investigation Image Retrieval. The International Conference on Digital Image Computing: Techniques and Applications (DICTA) , Sydney, Australia, Nov. 30- Dec. 2, 2017 . Y. Liu, D. Hu, J. L. Fan, F. P. Wang. Multi-feature Fusion for Crime Scene Investigation Image Retrieval. The International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, Australia, Nov. 30-Dec. 2, 2017."},{"key":"e_1_3_2_1_2_1","first-page":"37","article-title":"Image Retrieval of Digital Crime Scene images","volume":"4","author":"C. Y. WEN, C.","year":"2005","unstructured":"C. Y. WEN, C. C.YU . Image Retrieval of Digital Crime Scene images . Forensic Science Journal , vol. 4 , pp. 37 -- 45 , 2005 . C. Y. WEN, C. C.YU. Image Retrieval of Digital Crime Scene images. Forensic Science Journal, vol. 4, pp. 37--45, 2005.","journal-title":"Forensic Science Journal"},{"issue":"3","key":"e_1_3_2_1_3_1","article-title":"Research on Crime Scene investigation Image Retrieval Technology","volume":"20","author":"Liu Y.","year":"2015","unstructured":"Y. Liu , J. L. Fan , Z. Li . Research on Crime Scene investigation Image Retrieval Technology . Journal of Xi'an University of Posts and Telecommunications , vol. 20 , no. 3 , 2015 . Y. Liu, J. L. Fan, Z. Li. Research on Crime Scene investigation Image Retrieval Technology. Journal of Xi'an University of Posts and Telecommunications, vol. 20, no. 3, 2015.","journal-title":"Journal of Xi'an University of Posts and Telecommunications"},{"issue":"6","key":"e_1_3_2_1_4_1","first-page":"11","article-title":"Feature extraction and similarity measure for forensic image retrieval","volume":"19","author":"Liu Y.","year":"2014","unstructured":"Y. Liu , H. Yan and K. P. Lim . Feature extraction and similarity measure for forensic image retrieval . Journal of Xi'an University of Posts and Telecommunications , vol. 19 , no. 6 , pp. 11 -- 16 , 2014 . Y. Liu, H. Yan and K. P. Lim. Feature extraction and similarity measure for forensic image retrieval. Journal of Xi'an University of Posts and Telecommunications, vol. 19, no. 6, pp. 11--16, 2014.","journal-title":"Journal of Xi'an University of Posts and Telecommunications"},{"volume-title":"Crime scene investigation image retrieval alogorithm based on fusion of texture and color features. Journal of Xi' an University of Posts and Telecommunications","author":"Lan R.","key":"e_1_3_2_1_5_1","unstructured":"R. Lan , S. Y. Jia . Crime scene investigation image retrieval alogorithm based on fusion of texture and color features. Journal of Xi' an University of Posts and Telecommunications , vol. 21 , no. 2, 2016. R. Lan, S. Y. Jia. Crime scene investigation image retrieval alogorithm based on fusion of texture and color features. Journal of Xi' an University of Posts and Telecommunications, vol. 21, no. 2, 2016."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIEA.2017.8282831"},{"issue":"6","key":"e_1_3_2_1_7_1","first-page":"35","article-title":"A two-layer crime scene investigation image retrieval mechanism","volume":"21","author":"Liu W.","year":"2016","unstructured":"W. Liu , Y. Liu , D. Li and T. Zhu . A two-layer crime scene investigation image retrieval mechanism . Journal of Xi'an University of Posts and Telecommunications , vol. 21 , no. 6 , pp. 35 -- 39 , 2016 . W. Liu, Y. Liu, D. Li and T. Zhu. A two-layer crime scene investigation image retrieval mechanism. Journal of Xi'an University of Posts and Telecommunications, vol. 21, no. 6, pp. 35--39, 2016.","journal-title":"Journal of Xi'an University of Posts and Telecommunications"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/2354409.2354694"},{"key":"e_1_3_2_1_10_1","first-page":"261","volume-title":"Learning algorithms for classification: A comparison on handwritten digit recognition. Neural networks: The statistical mechanics perspective","author":"LeCun Y.","year":"1995","unstructured":"Y. LeCun , L. Jackel , L. Bottou , C. Cortes , J.S. Denker , H. Drucker . Learning algorithms for classification: A comparison on handwritten digit recognition. Neural networks: The statistical mechanics perspective , 1995 , pp. 261 -- 276 . Y. LeCun, L. Jackel, L. Bottou, C. Cortes, J.S. Denker, H. Drucker. Learning algorithms for classification: A comparison on handwritten digit recognition. Neural networks: The statistical mechanics perspective, 1995, pp. 261--276."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.220"},{"key":"e_1_3_2_1_14_1","first-page":"584","volume-title":"Neural Codes for Image Retrieval. European Conference on Computer Vision\"","author":"Babenko A.","year":"2014","unstructured":"A. Babenko , A. Slesarev , A. Chigorin . Neural Codes for Image Retrieval. European Conference on Computer Vision\" , pp. 584 -- 599 , 2014 . A. Babenko, A. Slesarev, A. Chigorin. Neural Codes for Image Retrieval. European Conference on Computer Vision\", pp. 584--599, 2014."},{"key":"e_1_3_2_1_15_1","first-page":"647","volume-title":"The 31st International Conference on Maching Learning","volume":"32","author":"Donahue J.","year":"2014","unstructured":"J. Donahue , Y. Jia , O. Vinyals et al. A deep convolutional activation feature for generic visual recognition . The 31st International Conference on Maching Learning , vol. 32 , no.1, pp. 647 -- 655 , 2014 . J. Donahue, Y. Jia, O. Vinyals et al. A deep convolutional activation feature for generic visual recognition. The 31st International Conference on Maching Learning, vol. 32, no.1, pp. 647--655, 2014."},{"key":"e_1_3_2_1_16_1","volume-title":"Proceeding of the 4th International Conference on Learning Representations (ICLR)","author":"Tolias G.","year":"2016","unstructured":"G. Tolias , R. Sicre , H. J\u00e9gou . Particular object retrieval with integral max-pooling of CNN activations . Proceeding of the 4th International Conference on Learning Representations (ICLR) , 2016 . G. Tolias, R. Sicre, H. J\u00e9gou. Particular object retrieval with integral max-pooling of CNN activations. Proceeding of the 4th International Conference on Learning Representations (ICLR), 2016."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.11.022"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.05.025"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.6"},{"key":"e_1_3_2_1_22_1","volume-title":"International Conference on Learning Representations","author":"Simonyan K.","year":"2015","unstructured":"K. Simonyan , A. Zisserman . Very deep convolutional networks for large-scale image recognition . International Conference on Learning Representations , 2015 . K. Simonyan, A. Zisserman. Very deep convolutional networks for large-scale image recognition. International Conference on Learning Representations, 2015."},{"key":"e_1_3_2_1_23_1","first-page":"1","article-title":"Deep Learning earth observation classification using Imagenet Pretrained Networks","volume":"13","author":"Marmanis D.","year":"2015","unstructured":"D. Marmanis , M. Datcu , T. Esch , U. Stilla . Deep Learning earth observation classification using Imagenet Pretrained Networks . IEEE Geosci. Remote Sens. Lett. Vol. 13 , pp. 1 -- 5 , 2015 D. Marmanis, M. Datcu, T. Esch, U. Stilla. Deep Learning earth observation classification using Imagenet Pretrained Networks. IEEE Geosci. Remote Sens. Lett. Vol. 13, pp. 1--5, 2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301382"},{"key":"e_1_3_2_1_25_1","volume-title":"Land use classification in remote sensing images by convolutional neural networks. arXiv","author":"Castelluccio M.","year":"2015","unstructured":"M. Castelluccio , G. Poggi , C. Sansone , L. Verdoliva . Land use classification in remote sensing images by convolutional neural networks. arXiv 2015 , arXiv:1508.00092. M. Castelluccio, G. Poggi, C. Sansone, L. Verdoliva. Land use classification in remote sensing images by convolutional neural networks. arXiv 2015, arXiv:1508.00092."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2016.05.021"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.150"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_38"},{"key":"e_1_3_2_1_29_1","volume-title":"International Journal of Remote Sensing, Published online","author":"Napoletano P.","year":"2017","unstructured":"P. Napoletano . Visual descriptors for content-based retrieval of remote sensing images . International Journal of Remote Sensing, Published online : 24 Nov 2017 (in press). P. Napoletano. Visual descriptors for content-based retrieval of remote sensing images. International Journal of Remote Sensing, Published online: 24 Nov 2017 (in press)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"}],"event":{"name":"ICMIP 2018: 2018 the 3rd International Conference on Multimedia and Image Processing","sponsor":["Wuhan Univ. Wuhan University, China","University of Electronic Science and Technology of China University of Electronic Science and Technology of China"],"location":"Guiyang China","acronym":"ICMIP 2018"},"container-title":["Proceedings of the 3rd International Conference on Multimedia and Image Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3195588.3195605","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3195588.3195605","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:26:34Z","timestamp":1750213594000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3195588.3195605"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,16]]},"references-count":30,"alternative-id":["10.1145\/3195588.3195605","10.1145\/3195588"],"URL":"https:\/\/doi.org\/10.1145\/3195588.3195605","relation":{},"subject":[],"published":{"date-parts":[[2018,3,16]]},"assertion":[{"value":"2018-03-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}